Leverage Computer Vision and NLP to find more efficient ways to encode, distribute, and organize your unstructured image, video, and text data. From personalizing advertising and audience content to regulating illicit material to preventing copyright infringement and more, AI promises to transform the way content is distributed.
Ensure brand safety by monitoring image, video, text and audio media for unwanted content. Automate manual moderation efforts with AI to scale projects 100x more efficiently. We support various taxonomies, including custom GARM implementations.
Leverage NLP to provide accurate multilingual subtitles for video content. Reduce time spent on the error prone, manual process of writing subtitles for multiple shows and movies in dozens of languages. Using AI for targeted tagging improves productivity and search results to satisfy audience preferences.
Add context to media processing. Use AI to identify the contents of videos frame by frame and identify objects to add appropriate tags. Develop training sets based upon the results of labeling multiple categories of objects and scenes as diverse as types of food, clothing, homes, and more.
Analyze shot changes using Computer Vision to classify the transition within video streams. Use classification to summarize video content, support advanced browsing, and filter “known-item” searches. Optimize advertising placement by serving ads based on their content.
Use AI-automated image and video tagging to reduce the repetitive and time-consuming task of manually reviewing and labeling data. AI-based platforms can analyze videos frame by frame and identify objects to add appropriate tags at scale to help viewers find more relevant content faster.
Use AI to build a recommendation engine that continually learns customer preferences. Detect viewer tastes to suggest what they'd be interested in watching next. AI platforms assist in better serving content that caters to customer preferences, providing a personalized experience.
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